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A Review of Artificial Intelligence (AI) in Education from 2010 to 2020 (open access)

A Review of Artificial Intelligence (AI) in Education from 2010 to 2020

This article provides a content analysis of studies from 2010 to 2020 aiming to disclose how artificial intelligence (AI) has been applied to the education sector and explore the potential research trends and challenges of AI in education. The content analysis shows that the research questions can be classified into development layer (classification, matching, recommendation, and deep learning), application layer (feedback, reasoning, and adaptive learning), and integration layer (affection computing, role-playing, immersive learning, and gamification).
Date: April 20, 2021
Creator: Zhai, Xuesong; Chu, Xiaoyan; Chai, Ching Sing; Jong, Morris Siu Yung; Istenic, Andreja; Spector, Michael et al.
System: The UNT Digital Library